Correlation Between Hyundai Heavy and Atinum Investment
Can any of the company-specific risk be diversified away by investing in both Hyundai Heavy and Atinum Investment at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Hyundai Heavy and Atinum Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hyundai Heavy Industries and Atinum Investment Co, you can compare the effects of market volatilities on Hyundai Heavy and Atinum Investment and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Hyundai Heavy with a short position of Atinum Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hyundai Heavy and Atinum Investment.
Diversification Opportunities for Hyundai Heavy and Atinum Investment
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Hyundai and Atinum is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Hyundai Heavy Industries and Atinum Investment Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atinum Investment and Hyundai Heavy is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Hyundai Heavy Industries are associated (or correlated) with Atinum Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atinum Investment has no effect on the direction of Hyundai Heavy i.e., Hyundai Heavy and Atinum Investment go up and down completely randomly.
Pair Corralation between Hyundai Heavy and Atinum Investment
Assuming the 90 days trading horizon Hyundai Heavy Industries is expected to generate 0.79 times more return on investment than Atinum Investment. However, Hyundai Heavy Industries is 1.26 times less risky than Atinum Investment. It trades about 0.0 of its potential returns per unit of risk. Atinum Investment Co is currently generating about -0.02 per unit of risk. If you would invest 7,903,152 in Hyundai Heavy Industries on September 3, 2024 and sell it today you would lose (123,152) from holding Hyundai Heavy Industries or give up 1.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hyundai Heavy Industries vs. Atinum Investment Co
Performance |
Timeline |
Hyundai Heavy Industries |
Atinum Investment |
Hyundai Heavy and Atinum Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hyundai Heavy and Atinum Investment
The main advantage of trading using opposite Hyundai Heavy and Atinum Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hyundai Heavy position performs unexpectedly, Atinum Investment can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Atinum Investment will offset losses from the drop in Atinum Investment's long position.Hyundai Heavy vs. Daehan Synthetic Fiber | Hyundai Heavy vs. Posco Chemical Co | Hyundai Heavy vs. Youngbo Chemical Co | Hyundai Heavy vs. Korea Petro Chemical |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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